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Existence and uniqueness for projected dynamics and convergence of projection Euler under countable and dependent choice

Statement

Let d≥1, let C⊆Rd be nonempty, compact, and convex, let T>0, and let x0∈C. Suppose f:[0,T]×C→Rd is Lipschitz in the explicit sense ∥f(t,x)−f(s,y)∥2≤L(∣t−s∣+∥x−y∥2) for some L≥0 and all s,t,x,y. Assume the Axioms of Countable Choice and Dependent Choice. Then the projected inclusion x(0)=x0,f(t,x(t))−x˙(t)∈NC(x(t))for almost every t∈[0,T] has a unique absolutely continuous solution x:[0,T]→C. For each integer N≥1, define h=T/N, tk=kh, and the exact projection Euler nodes by xk+1=PC(xk+hf(tk,xk)),k=0,…,N−1. Their affine interpolants converge uniformly to x as N→∞. Countable Choice is used for the almost-everywhere statements and null-set unions; Dependent Choice enters through the absolutely-continuous FTC supplier used in the integrated proof. The monotonicity estimate for uniqueness makes no additional choices.

Facts & Assumptions

Given: Countable Choice, Dependent Choice, the set, forcing, and initial state in the Statement.

[A1]

The Axiom of Countable Choice (ACω): every countable family of nonempty sets has a choice function. It is used by the differentiability, Lebesgue-differentiation, and null-union suppliers below.

[A2]

The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain: every serial relation on a nonempty set admits an infinite dependent sequence. It is inherited through [F7]'s absolutely-continuous FTC.

[F1]

Projected contact dynamics and explicit projection Euler step: PC is the unique nearest-point projection, NC has the outward convention, and the exact projection Euler recurrence and affine interpolation are as in the Statement.

[F3]

Compactness of equi-Lipschitz curves with values in a compact Euclidean set: a sequence of uniformly Lipschitz curves into compact closed C has a uniformly convergent subsequence with limit in C.

[F4]

Solutions of projected contact dynamics are unique under the inherited choice assumptions: under Countable Choice and Dependent Choice, for a forcing Lipschitz in x, any two absolutely continuous solutions with the same initial state agree.

[F7]

The product of two absolutely continuous functions is absolutely continuous and Fundamental theorem of calculus for absolutely continuous functions: under Countable Choice and Dependent Choice, for an absolutely continuous vector curve, Φz(x)=⟨x,z⟩−12∥x∥22 is absolutely continuous, has derivative ⟨x˙,z−x⟩ almost everywhere, and its derivative integrates to its endpoint difference.

[F8]

A locally integrable function on Rn and Lebesgue differentiation theorem on Rn: for a locally Lebesgue-integrable function on R, at almost every t the averages (2r)−1∫t−rt+rg(s) ds tend to g(t) as r↓0; the theorem assumes Countable Choice.

[F9]

Q is countably infinite gives a bijection N→Q, and N×N≈N gives a bijection J:N2→N.

[F10]

The recursion theorem and The principle of mathematical induction allow the finite iterated pairing construction on Nd; The rationals embed densely in the reals gives rational approximants to each real coordinate; and Cauchy-Schwarz ∣⟨x,y⟩∣≤∥x∥2∥y∥2 with its equality case, the triangle inequality for ∥⋅∥2, the parallelogram law and polarisation gives the finite-sum Euclidean norm formula used to bound a vector from its coordinate errors.

[F11]

A property holding outside a set of elementary measure zero is exactly a property holding λ-almost everywhere identifies covering nullity with Lebesgue nullity under Countable Choice; A countable union of measure-zero sets has measure zero, by countable choice then shows that a countable union of Lebesgue-null subsets of R is null.

Proof

1.1F1F2F5givenalgebra

Since d≥1, [F5] shows that compact C is closed and bounded. Along with the stated nonemptiness and convexity, this verifies the set hypotheses in [F1] and the projection suppliers before they are used. Boundedness gives a finite diameter bound D for C. Put M=∥f(0,x0)∥2+L(T+D); the Lipschitz hypothesis gives ∥f(t,x)∥2≤M on [0,T]×C. For each exact Euler step, PC(xk)=xk, so [F2] gives ∥xk+1−xk∥2≤h∥f(tk,xk)∥2≤hM. Convexity keeps the affine interpolant in C, and its slope on each step has norm at most M.

1.2F1givenalgebra

On each open mesh cell [tk,tk+1), write Xh for the affine interpolant, Xˉh=xk+1, Fh=f(tk,xk), and nh=Fh−X˙h=(xk+hFh−xk+1)/h. By the projection variational inequality in [F1], nh∈NC(Xˉh). Consequently, for every fixed z∈C, ⟨X˙h−Fh,z−Xˉh⟩≥0.

2.1A1F3F6step 1.1given

Apply [F3] to the sequence of interpolants for N=1,2,…. Along a subsequence Nj→∞, they converge uniformly to a map x:[0,T]→C with x(0)=x0 and Lipschitz constant M. By [F6], x is absolutely continuous and differentiable almost everywhere; at each differentiability point, the Lipschitz inequality implies ∥x˙(t)∥2≤M.

3.1A1A2F1F6F7step 2.1step 1.2givenalgebra

Fix 0≤a<b≤T and a fixed z∈C. We have ∥Xˉh−Xh∥2≤Mh and ∥X˙h−Fh∥2≤2M, so replacing Xˉh by Xh in the integral of step 1.2 changes it by at most 2M2h(b−a). The term with X˙h is the endpoint difference of Φz(Xh), where Φz(w)=⟨w,z⟩−12∥w∥22. Uniform convergence gives its limit as the endpoint difference of Φz(x); [F7] identifies that difference with ∫ab⟨x˙,z−x⟩. Also ∥Fh(t)−f(t,x(t))∥2≤L(h+Mh+∥Xh−x∥∞) on each mesh cell, so Fh→f(t,x(t)) uniformly along the selected subsequence. Passing to the limit in the integrated inequality yields ∫abgz(t) dt≥0,gz(t):=⟨x˙(t)−f(t,x(t)),z−x(t)⟩.

4.1A1F7F8step 3.1givenalgebra

The function gz is Lebesgue-integrable: [F7] gives a measurable L1 version of x˙; define it to be 0 where the derivative is undefined. Boundedness of f,x,z makes the other factors integrable. Extend this representative of gz by zero outside [0,T] to obtain a locally integrable function on R. Since every interval integral in step 3.1 is nonnegative, Gz(t)=∫0tgz(s) ds is nondecreasing. At almost every interior t, [F8] gives lim⁡r↓012r∫t−rt+rgz(s) ds=gz(t). For every sufficiently small r>0, the average on the left is (Gz(t+r)−Gz(t−r))/(2r)≥0 because Gz is nondecreasing. Taking the limit yields gz(t)≥0 almost everywhere for each fixed z∈C.

5.1A1F1F2F9F10F11step 4.1givenchoose

Fix a bijection ρ:N→Q from [F9]. Define π1(n1)=n1 and, recursively, πk+1(n1,…,nk+1)=J(πk(n1,…,nk),nk+1). Since J is a bijection, induction using [F10] shows that each πk:Nk→N is a bijection. In particular, decoding n by πd−1 and applying ρ coordinatewise gives a surjection s:N→Qd. Thus D0={PC(s(n)):n∈N} is countable. It is dense in C: for z∈C and η>0, choose in each of the finitely many coordinates a rational qj strictly between zj−η/(2d) and zj+η/(2d), using the interval-density conclusion of [F10]. For q=(q1,…,qd), [F10] gives ∥q−z∥22=∑j<d∣qj−zj∣2<d(η2d)2≤η24, so ∥q−z∥2<η/2. Since PC(z)=z, nonexpansiveness [F2] gives ∥PC(q)−z∥2=∥PC(q)−PC(z)∥2≤∥q−z∥2<η. For each n, put zn=PC(s(n))∈D0. Step 4.1 gives a null exceptional set where gzn<0. Countable Choice [A1] and [F11] make their union, together with the null set where x˙ does not exist, null. Outside it, gz(t)≥0 for every z∈D0. For each such t, the expression gz(t) is continuous in z; if it were negative at some z∈C, it would be negative on a neighborhood of z meeting the dense set D0, a contradiction. Hence the inequality holds for every z∈C, so f(t,x(t))−x˙(t)∈NC(x(t)) almost everywhere by [F1]. This proves existence of a solution along the selected subsequence.

6.1A1A2F3F4step 2.1step 1.2step 5.1givenassume-hypcontradiction∎

The uniqueness lemma [F4], under the same choice assumptions through its FTC supplier, shows that every uniformly convergent subsequence limit of the Euler interpolants is this same solution x. If the full sequence did not converge uniformly to x, some subsequence would stay at uniform distance at least δ>0; [F3] would give a further uniformly convergent subsequence, whose limit is a solution by steps 1.2–5.1 and hence equals x, a contradiction. Therefore the entire sequence converges uniformly to x.

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